model fairness

Take Its Essence, Discard Its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect COLING 2024 Towards Fair Graph Federated Learning via Incentive Mechanisms AAAI 2024 Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness ACL 2024 Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability AAAI 2024 VHELM: A Holistic Evaluation of Vision Language Models NeurIPS 2024 Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NeurIPS 2023 Being Right for Whose Right Reasons? ACL 2023 Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures CVPR 2023 Detecting intersectionality in NER models: A data-driven approach EACL 2023 Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world ACL 2023 From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models ACL 2023 Improving Fair Training under Correlation Shifts ICML 2023 MMD-B-Fair: Learning Fair Representations with Statistical Testing AISTATS 2023 NLPositionality: Characterizing Design Biases of Datasets and Models ACL 2023 Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition EMNLP 2023 The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks ACL 2023 Are Pretrained Multilingual Models Equally Fair across Languages? COLING 2022 Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models NAACL 2022 Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias WACV 2022 FairLib: A Unified Framework for Assessing and Improving Fairness EMNLP 2022 Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness NeurIPS 2022 Rashomon Capacity: A Metric for Predictive Multiplicity in Classification NeurIPS 2022 Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models ACL 2022 Your fairness may vary: Pretrained language model fairness in toxic text classification ACL 2022 Challenges in Detoxifying Language Models EMNLP 2021